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The prediction approach with Growing Hierarchical Self-Organizing Map.

, and . IJCNN, page 1-7. IEEE, (2012)

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The prediction approach with Growing Hierarchical Self-Organizing Map., and . IJCNN, page 1-7. IEEE, (2012)Outlier detection in the concept drifting environment., , and . IJCNN, page 31-37. IEEE, (2016)Safeguard gaps and their managerial issues., , and . Ind. Manag. Data Syst., 108 (5): 669-676 (2008)Unsupervised Neural Networks Approach for Understanding Fraudulent Financial Reporting., , and . Ind. Manag. Data Syst., 112 (2): 224-244 (2012)How Design Features Lead to Visitors' Visit Intention through Virtual Reality Experience: The Case of National Palace Museum., , , , and . PACIS, page 164. (2018)A resistant learning procedure for coping with outliers., and . Ann. Math. Artif. Intell., 57 (2): 161-180 (2009)The Cramming, Softening and Integrating Learning Algorithm with Parametric ReLU Activation Function for Binary Input/Output Problems., , and . IJCNN, page 1-7. IEEE, (2019)A Mechanism for Supporting the Peak/Trough Detection in the Concept Drifting Environment., , , and . INNS DLIA@IJCNN, volume 222 of Procedia Computer Science, page 262-271. Elsevier, (2023)Knowledge-internalization process for neural-networks practitioners., and . IJCNN, page 3148-3155. IEEE Computer Society, (2009)Resistant learning on the envelope bulk for identifying anomalous patterns., , , and . IJCNN, page 3303-3310. IEEE, (2014)